Advanced

5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath

Ge, Yu ; Wen, Fuxi ; Kim, Hyowon ; Zhu, Meifang LU ; Jiang, Fan ; Kim, Sunwoo ; Svensson, Lennart and Wymeersch, Henk (2020) In Sensors (Basel, Switzerland) 20(16).
Abstract

5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider an intermediate approach, which consists of four phases-downlink data transmission, multi-dimensional channel estimation, channel parameter clustering, and simultaneous localization and mapping (SLAM) based on a novel likelihood function. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end... (More)

5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider an intermediate approach, which consists of four phases-downlink data transmission, multi-dimensional channel estimation, channel parameter clustering, and simultaneous localization and mapping (SLAM) based on a novel likelihood function. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end processing chain, we are accounting for a wide variety of practical impairments. Simulation results demonstrate the efficacy of the proposed approach.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
clustering, diffuse multipath, mmWave single base station SLAM
in
Sensors (Basel, Switzerland)
volume
20
issue
16
article number
4656
publisher
MDPI AG
external identifiers
  • pmid:32824844
  • scopus:85089807438
ISSN
1424-8220
DOI
10.3390/s20164656
language
English
LU publication?
yes
id
1193ce24-b9af-49cd-8b31-81e93f2fe46b
date added to LUP
2020-09-07 15:19:47
date last changed
2020-10-20 01:06:58
@article{1193ce24-b9af-49cd-8b31-81e93f2fe46b,
  abstract     = {<p>5G communication systems operating above 24 GHz have promising properties for user localization and environment mapping. Existing studies have either relied on simplified abstract models of the signal propagation and the measurements, or are based on direct positioning approaches, which directly map the received waveform to a position. In this study, we consider an intermediate approach, which consists of four phases-downlink data transmission, multi-dimensional channel estimation, channel parameter clustering, and simultaneous localization and mapping (SLAM) based on a novel likelihood function. This approach can decompose the problem into simpler steps, thus leading to lower complexity. At the same time, by considering an end-to-end processing chain, we are accounting for a wide variety of practical impairments. Simulation results demonstrate the efficacy of the proposed approach.</p>},
  author       = {Ge, Yu and Wen, Fuxi and Kim, Hyowon and Zhu, Meifang and Jiang, Fan and Kim, Sunwoo and Svensson, Lennart and Wymeersch, Henk},
  issn         = {1424-8220},
  language     = {eng},
  number       = {16},
  publisher    = {MDPI AG},
  series       = {Sensors (Basel, Switzerland)},
  title        = {5G SLAM Using the Clustering and Assignment Approach with Diffuse Multipath},
  url          = {http://dx.doi.org/10.3390/s20164656},
  doi          = {10.3390/s20164656},
  volume       = {20},
  year         = {2020},
}